Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1011–1020 of 6748 papers

Title	Date	Tasks	Status	Score
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think	Feb 27, 2023	regressionTime Series Analysis	CodeCode Available	5
Benchmarking time series classification -- Functional data vs machine learning approaches	Nov 18, 2019	Additive modelsBenchmarking	CodeCode Available	5
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective	Jan 27, 2023	FairnessMultivariate Time Series Forecasting	CodeCode Available	5
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets	Oct 23, 2017	BenchmarkingBIG-bench Machine Learning	CodeCode Available	5
Autonomous Deep Quality Monitoring in Streaming Environments	Jun 26, 2021	Time Series Analysis	CodeCode Available	5
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge	Jul 28, 2021	AutoMLFeature Engineering	CodeCode Available	5
Learning low-frequency temporal patterns for quantitative trading	Aug 12, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks	Jul 3, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure	May 1, 2019	ClusteringTime Series	CodeCode Available	5
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa	Jun 11, 2020	ClusteringTime Series Analysis	CodeCode Available	5

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified